Site Reliability Engineer, Apple Data Platform

Socket.dev; Austin (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Apple is seeking a Platform Site Reliability Engineer to manage data platform infrastructure, processing, governance, and storage across cloud and on-prem environments. The role emphasizes reliability, scalability, and security for global products and services.

The candidate will operate large-scale systems, enhance automation, and collaborate across teams to ensure performance and resilience. A strong background in distributed systems and cloud-native tooling is required.

Qualifications

• BS/MS in Computer Science or Equivalent; 5+ years of software development or production operations experience.
• Proficiency in Go, Python, or Java with standard delivery platforms.
• Experience operating production applications at scale, including HA/DR, capacity planning, and distributed systems on Kubernetes.
• Understanding of Linux, containers/virtualization, networking.
• Strong ownership, communication and problem-solving using the scientific method.

Responsibilities

• Operate and maintain production data platform infrastructure and services.
• Design and implement scalable, reliable data processing and governance workflows.
• Collaborate with cross-functional teams to ensure reliability and performance.
• Plan capacity and disaster recovery strategies for cloud and on-prem environments.

Skills

Go / Python / Java programming

Kubernetes

Linux systems engineering

Ownership & collaboration

Troubleshooting & problem solving

Education

BS/MS in Computer Science or equivalent

Tools

Kubernetes

Docker

Cloud platforms (AWS / GCP)

Job description

DESCRIPTION

Apple Services infrastructure is planetary scale. Our Data Platform Site Reliability Engineering team manages the infrastructure and applications on bare-metal and cloud computing platforms to deliver data processing, governance, and storage for many of Apple’s global products and organizations. Our platform teams work with exabytes of data, terabytes of memory, and hundreds of thousands of jobs running millions of executors to support predicable and performant data analytics. Our platform enables key features in Apple Music, TV, Maps, News, and other world class products. Ensuring all of these technologies in geographically distributed data centers work together in harmony presents unique challenges.

MINIMUM QUALIFICATIONS

• BS/MS in Computer Science or Equivalent 5+ years of software development or production operations experience in a large-scale environment


• Proficiency in authoring and releasing code in Go, Python, or Java using common configuration management and software delivery platforms


• Experience operating production applications at scale, including well designed performance testing, HA and disaster recovery concepts, capacity planning, and managing distributed systems on internal and public cloud infrastructure, principally Kubernetes


• Understanding of the Linux Operating System, containers and virtualization, standard networking protocols, and components


• Strong sense of ownership and integrity demonstrated through clear communication and collaboration


• Demonstrates excellent troubleshooting and problem solving skills using the scientific method

PREFERRED QUALIFICATIONS

• Proficiency with the architecture, deployment, performance tuning, and troubleshooting of open source data analytics or governance technologies such as Flink, Hive, Hadoop/HDFS, Trino, and/or Druid


• Proficiency in managing applications and infra on AWS, GCP and Ali Cloud


• The successful candidate is frustrated with toil and has an acute drive to both automate manual operations and evolve them into automatic processes.